MAIL CLASSIFICATION METHOD AND APPARATUS BASED ON CONJOINT ANALYSIS OF BEHAVIOR STRUCTURES AND SEMANTIC CONTENT

摘要

A mail classification method and apparatus based on conjoint analysis of behavior structures and semantic content, and a device and a readable storage medium. The method comprises: extracting behavior structure information and text content information of an e-mail (S1); by means of an eigenvector calculation mode, performing calculation to obtain a behavior structure feature of the e-mail, and by using a pre-trained fastText model, performing calculation to obtain a text semantic feature of the e-mail (S2); respectively performing normalization processing on the behavior structure feature and the text semantic feature, and performing feature fusion to obtain an e-mail fusion feature (S3); training a classifier by using the e-mail fusion feature (S4); and classifying, by using the trained classifier, an e-mail to be tested so as to acquire the category of the e-mail to be tested (S5). In the method, an e-mail is classified by simultaneously using behavior structure information and text content information of the e-mail, thereby effectively improving the category determination accuracy of the e-mail.